Perplexity: Decider V1 27B

Decider V1 27B is a decision model from Perplexity. Instead of generating text, it reads content passed as `state` and returns typed, probabilistic answers to one or more named questions in a single request: the probability of yes for a yes/no question (`noul`), a probability for every option plus the most likely one (`choice`), or a probability for every level of an ordered rubric plus the expected score (`score`). It is built for classification, routing, moderation, and rubric grading where application code thresholds the returned numbers rather than parsing a chat reply. A request can carry up to 128 questions about the same content. On OpenRouter it currently accepts text and JSON `state`; image inputs are not yet supported.